Early tumor development captured through nondestructive, high resolution differential phase contrast X-ray imaging.

Although a considerable amount is known about molecular dysregulations in later stages of tumor progression, much less is known about the regulated processes supporting initial tumor growth. Insight into such processes can provide a fuller understanding of carcinogenesis, with implications for cancer treatment and risk assessment. Work from our laboratory suggests that organized substructure emerges during tumor formation. The goal here was to examine the feasibility of using state-of-the-art differential phase contrast X-ray imaging to investigate density differentials that evolve during early tumor development. To this end the beamline for TOmographic Microscopy and Coherent rAdiology experimenTs (TOMCAT) at the Swiss Light Source was used to examine the time-dependent assembly of substructure in developing tumors. Differential phase contrast (DPC) imaging based on grating interferometry as implemented with TOMCAT, offers sensitivity to density differentials within soft tissues and a unique combination of high resolution coupled with a large field of view that permits the accommodation of larger tissue sizes (1 cm in diameter), difficult with other imaging modalities.

Imaging the ultrasmall-angle x-ray scattering distribution with grating interferometry.

X-ray imaging with grating interferometry has previously been regarded as a technique providing information only in direct space. It delivers absorption, phase, and dark-field contrast, which can be viewed as parameters of the underlying but unresolved scattering distribution. Here, we present a method that provides the ultrasmall-angle x-ray scattering distribution and, thus, allows simultaneous access to direct and reciprocal space information.

Imaging brain amyloid deposition using grating-based differential phase contrast tomography.

One of the core pathological features of Alzheimer's disease (AD) is the accumulation of amyloid plaques in the brain. Current efforts of medical imaging research aim at visualizing amyloid plaques in living patients in order to evaluate the progression of the pathology, but also to facilitate the diagnosis of AD at the prodromal stage. In this study, we evaluated the capabilities of a new experimental imaging setup to image amyloid plaques in the brain of a transgenic mouse model of Alzheimer's disease. This imaging setup relies on a grating interferometer at a synchrotron X-ray source to measure the differential phase contrast between brain tissue and amyloid plaques. It provides high-resolution images with a large field of view, making it possible to scan an entire mouse brain. Here, we showed that this setup yields sufficient contrast to detect amyloid plaques and to quantify automatically several important structural parameters, such as their size and their regional density in 3D, on the scale of a whole mouse brain. Whilst future developments are required to apply this technique in vivo, this grating-based setup already gives the possibility to perform powerful studies aiming at quantifying the amyloid pathology in mouse models of AD and might accelerate the evaluation of anti-amyloid compounds. In addition, this technique may also facilitate the development of other amyloid imaging methods such as positron emission tomography (PET) by providing convenient high-resolution 3D data of the plaque distribution for multimodal comparison.

Sensitivity of X-ray grating interferometry.

It is known that the sensitivity of X-ray phase-contrast grating interferometry with regard to electron density variations present in the sample is related to the minimum detectable refraction angle. In this article a numerical framework is developed that allows for a realistic and quantitative determination of the sensitivity. The framework is validated by comparisons with experimental results and then used for the quantification of several influences on the sensitivity, such as spatial coherence or the number of phase step images. In particular, we identify the ideal inter-grating distance with respect to the highest sensitivity for parallel beam geometry. This knowledge will help to optimize existing synchrotron-based grating interferometry setups.